图像增强算法代码python

以下是几个常用的图像增强算法的Python代码示例：

1. 色彩调整（亮度、对比度、饱和度）：

import cv2

def adjust_brightness(image, value):
    hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
    h, s, v = cv2.split(hsv)
    v = cv2.add(v, value)
    v = np.clip(v, 0, 255)
    hsv = cv2.merge((h, s, v))
    adjusted = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
    return adjusted

def adjust_contrast(image, value):
    alpha = float(131 + value) / 131
    adjusted = cv2.addWeighted(image, alpha, image, 0, 0)
    return adjusted

def adjust_saturation(image, value):
    hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
    h, s, v = cv2.split(hsv)
    s = cv2.add(s, value)
    s = np.clip(s, 0, 255)
    hsv = cv2.merge((h, s, v))
    adjusted = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
    return adjusted

2. 图像锐化增强（使用卷积核）：

import cv2
import numpy as np

def sharpen_image(image):
    kernel = np.array([[-1,-1,-1], [-1,9,-1], [-1,-1,-1]])